
where the \(L_{AE}\)  term denotes the reconstruction error of the three views and the \(D_{KL}\)  term regularizes the encoder by minimizing the Kullback-Leibler divergence between the joint approximate posterior \(q_{\phi }(\mathbf {z}|\mathbf {x})\)  and the prior \(p(\mathbf {z})\) . In practice, \(\beta \)  is slowly annealed to 1 [1]}, [2]} to form a valid ELBO. \(\lambda _l\) , \(\lambda _r\)  and \(\lambda _d\)  are hyperparameters that balance the reconstruction error among the three views.
